DocumentCode
1949896
Title
Bistatic radar scattering from an ocean surface at L-band
Author
Awada, Ahmad ; Khenchaf, Ali ; Coatanhay, Arnaud
Author_Institution
ENSIETA, France
fYear
2006
fDate
24-27 April 2006
Abstract
This paper presents a numerical analysis for bistatic scattering from the sea surface at L-band. The unifying scattering model small slope approximation (SSA) of the first order is applied to calculate normalized bistatic cross section (NBCS) of the ocean surface. The calculations were made by assuming the surface-height spectrum of Elfouhaily et al. The correlation function based on this spectrum is calculated. The negative region participation in surface scattering which is function of the incident angle, the wind speed and the exploring wavelength is discussed. A comparison between SSA and geometric optics models shows that the last one is generally not accurate at L-band especially at large angles of incidences. Numerical results examine the wind dependency over a wide range of incident angles along the specular direction and in the forward scattering configuration. In addition, the NBCS behavior in fully bistatic configuration is predicted. Numerical results are obtained as a function of wind speed, incident/scattering angles and polarization states.
Keywords
correlation methods; electromagnetic wave polarisation; electromagnetic wave scattering; ocean waves; radar cross-sections; radar signal processing; remote sensing by radar; wind; L-band; NBCS; SSA; bistatic radar scattering; correlation function; normalized bistatic cross section; numerical analysis; ocean surface; polarization state; sea surface; small slope approximation; surface-height spectrum; unifying scattering model; wind speed; Bistatic radar; L-band; Niobium compounds; Numerical analysis; Oceans; Optical scattering; Optical surface waves; Radar scattering; Sea surface; Wind speed;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar, 2006 IEEE Conference on
Print_ISBN
0-7803-9496-8
Type
conf
DOI
10.1109/RADAR.2006.1631798
Filename
1631798
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